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ICCV
2003
IEEE
16 years 6 months ago
A Background Layer Model for Object Tracking Through Occlusion
Motion layer estimation has recently emerged as a promising object tracking method. In this paper, we extend previous research on layer-based tracker by introducing the concept of...
Yue Zhou, Hai Tao
ICCV
2007
IEEE
15 years 10 months ago
Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search
Non-rigid object alignment is especially challenging when only a single appearance template is available and target and template images fail to match. Two sources of discrepancy b...
Yang Wang, Simon Lucey, Jeffrey F. Cohn
CVPR
2005
IEEE
15 years 10 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ICCV
2011
IEEE
14 years 4 months ago
Hough-based Tracking of Non-Rigid Objects
Online learning has shown to be successful in tracking of previously unknown objects. However, most approaches are limited to a bounding-box representation with fixed aspect rati...
Martin Godec, Peter M. Roth, Horst Bischof
CVPR
2007
IEEE
16 years 6 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren